1524 Mlops Jobs - Page 11

As a member of the Metyis team, you will be part of a global and forward-thinking firm that operates across various industries, specializing in AI & Data, Digital Commerce, Marketing & Design solutions, and Advisory services. Our long-term partnership model focuses on bringing lasting impact and growth to our business partners and clients through our extensive execution capabilities. You will have the opportunity to lead and manage the delivery of complex data science projects, ensuring quality and timelines are met. Engaging with clients and business stakeholders to understand challenges and translate them into analytical solutions will be a key aspect of your role. You will design solution...

As a pioneering technology company working at the intersection of AI, immersive experiences, automation, and innovation, you will be involved in various cutting-edge projects and solutions. You will have the opportunity to work on setting up futuristic AI labs and developing real-time immersive installations using AR/VR and projection mapping. Key Responsibilities: - Assist in developing, training, and deploying ML/DL models. - Implement MLOps pipelines using tools like Docker, MLflow, FastAPI, or Kubernetes. - Support version control, CI/CD practices, and automated retraining pipelines. - Help with dataset preparation, model monitoring, and performance tuning. - Explore and contribute to AR...

As a Machine Learning Engineer at UST, you will be a part of a collaborative environment, using cutting-edge ML techniques to solve complex business problems across different domains. Your responsibilities will include: - Applying cutting-edge ML techniques to solve complex business problems. - Framing problems and deciding the appropriate approach, whether it's Supervised, Self-Supervised, or Reinforcement Learning (RL). - Data wrangling using techniques like Weak/Distant Supervision, Pseudo-labelling, and robust EDA (Exploratory Data Analysis). - Developing models end-to-end in ML, DL, and RL. - Expertise in Transfer Learning, including N-shot learning and fine-tuning pre-trained models. -...

As an AI Architect & Project Manager focusing on React Migration, your primary responsibility will be to lead a small team in AI development, project execution, and front-end migration from React.js to the latest version. To ensure success in this role, you are expected to have a robust technical background, proactive mindset, leadership qualities, and exceptional problem-solving skills for seamless integration of AI systems with modern front-end frameworks. Key Responsibilities: - AI Architecture & Development: - Design and implement scalable AI/ML solutions tailored to business requirements. - Develop and enhance models for NLP, computer vision, and predictive analytics. - Ensure AI soluti...

Joining Gadgeon offers you a dynamic and rewarding career experience that fosters both personal and professional growth. The collaborative culture encourages innovation, empowering you to contribute your ideas and expertise to cutting-edge projects. As a Computer Vision Engineer at Gadgeon, your responsibilities will include: - Designing, developing, and optimizing computer vision algorithms for tasks such as object detection, tracking, segmentation, depth estimation, and activity recognition. - Implementing and training deep learning models using frameworks such as TensorFlow, PyTorch, and OpenCV. - Processing and analyzing large-scale image and video datasets to extract meaningful insights...

As a highly skilled and experienced Senior MLOps Engineer at Siemens Energy, you will play a crucial role in shaping the data architecture and strategy within the organization. Your primary focus will be on developing the Machine Learning environment, collaborating with stakeholders, prioritizing backlog items, providing consultancy on AI ML solutions, and supporting test automation. Additionally, you will work on PoCs/MVPs using various hyperscale offerings. Key Responsibilities: - Onboard new AI ML use cases in AWS / Google Cloud Platform - Define MLOps architecture for AWS/ GCP/ Cloud Agnostic - Utilize AI ML services like AWS Sagemaker and GCP AutoML - Develop PoCs / MVPs using AWS / GCP...

As a research scientist at AryaXAI, you will have the unique opportunity to be part of a team that is revolutionizing the field of AI. Our mission is to develop explainable, safe, and scalable AI systems that empower researchers, engineers, and organizations while ensuring transparency and safety. Our team at AryaXAI is driven by a shared passion for innovation, collaboration, and excellence. In our flat organizational structure, everyone actively contributes to our mission, embodying values of curiosity, initiative, and outstanding performance. - Tackle advanced challenges in ML explainability, safety, and alignment - Specialize in various ML/DL areas to address challenges and develop new t...

Job Overview: We are seeking talented and experienced IT professionals to work as part-time freelancers. This role is 100% work-from-home, offering flexibility and an opportunity to collaborate with a reputed consultancy. You will provide online trainings or job support and mentorship to professionals working in real-time IT projects. Key Responsibilities: Offer online training or technical job support in your area of expertise. Assist with problem-solving and provide hands-on solutions to real-time project challenges. Collaborate with clients to ensure project success and client satisfaction. Share your expertise to upskill professionals through mentoring and knowledge sharing. Technical Sk...

Role & responsibilities We are looking for an experienced AI/ML/GenAI Architect to lead the design and delivery of enterprise-grade AI solutions. The ideal candidate will have a strong background in LLMs, RAG, Agentic frameworks, and AI solution architecture , with proven experience driving innovation and leading high-performing teams. Key Responsibilities: Define and own the overall architecture for enterprise-scale AI/GenAI solutions ensuring scalability, security, and performance. Lead end-to-end design and implementation of applications using LLMs, RAG, and multi-agent frameworks . Architect and integrate APIs, external data sources, and vector or graph databases into AI-driven solutions...

What you will do In this vital role you will be member of the technical team that develops and implements technology strategies, solutions, and services to support Amgens Global Medical business function. As the Technology IS Engineer, you will be the primary accountable for ownership and integration of several capabilities and the point of contact for the business & technology product owner and other stakeholders. This role will work closely with business and technology teams to efficiently build, deploy, scale, and operate technology solutions and software products and be responsible for all aspects of product DevOps, MLOps and lifecycle management. The Senior Associate IS Engineer will be...

Role: Senior MLOps Engineer GCP Ecosystem Location: Bangalore, Chennai, Pune Exp:10+Years Job Description: We are seeking a highly skilled MLOps Engineer with strong expertise in the Google Cloud Platform (GCP) ecosystem , including Vertex AI, GKE, and LLMOps . The ideal candidate will design, build, and optimize ML pipelines, enabling scalable, reliable, and secure deployment of machine learning models in production. Key Responsibilities: Design and implement end-to-end ML pipelines leveraging GCP services (Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage). Deploy, scale, and manage ML models on Vertex AI Prediction, GKE, and Cloud Run . Enable LLMOps practices for deploying, fine-tuni...

As an experienced AI Data Analyst with 7+ years of professional experience, including leadership in tech projects, you will be responsible for working on cutting-edge AI solutions at a company located in Mahape, Navi Mumbai with a Hybrid Work from Office setup. Your expertise in Python, Machine Learning, AI APIs, and Large Language Models (LLMs) will be essential for this role. **Key Responsibilities:** - Perform data exploration, profiling, and cleaning across large datasets. - Design, implement, and evaluate machine learning and AI models for business problems. - Leverage LLM APIs, foundation models, and vector databases to power AI-driven analysis. - Build end-to-end ML workflows from dat...

As a Senior AI Computer Vision Engineer at Ezio Solution, you will play a crucial role in developing, optimizing, and deploying computer vision algorithms and AI models for various real-world applications. You will be working as a part of the AI team in a fast-growing AI solutions firm. Key Responsibilities: - Design, develop, and deploy computer vision models for tasks like object detection, tracking, classification, and recognition. - Collaborate with image/video datasets for annotation, preprocessing, and data augmentation for training purposes. - Research and implement cutting-edge models such as YOLO, Faster R-CNN, Mask R-CNN, Deep SORT, etc. - Build pipelines to process real-time video...

As a Senior Python Developer at the company, you will play a crucial role in designing, developing, and scaling backend systems and AI/ML solutions. Your expertise in Python development and AI/ML projects will be essential for this position. **Key Responsibilities:** - Develop and maintain Python APIs for AI/ML and backend systems. - Collaborate with frontend teams to integrate applications using React.js. - Architect and optimize workloads on AWS cloud services (SageMaker, Lambda, EC2, S3). - Deploy, monitor, and scale AI/ML models in production environments. - Maintain technical documentation, code quality, and best practices. - Mentor junior developers and assist in code reviews. **Qualif...

We are seeking a highly motivated and experienced Machine Learning Engineer to join our team. You will be responsible for transforming Data Science prototypes into production-ready applications, building scalable MLOps pipelines, and maintaining deployed models. This role requires a strong background in software engineering, cloud infrastructure, and practical experience with the full ML lifecycle. Key Responsibilities: Production Deployment & Scaling: Refactor and optimise Data Science prototypes for performance and efficiency. Containerise models using Docker and deploy them onto a scalable infrastructure, such as Kubernetes. Design and build low-latency APIs to serve model predictions in ...

Role Overview: As an Architect at Iris Software, you will be responsible for designing and implementing end-to-end AI-driven solutions leveraging Generative AI technologies. Your key responsibilities will include: Key Responsibilities: - Collaborating with data scientists, engineers, and business stakeholders to translate business needs into AI solutions. - Evaluating and selecting AI frameworks, tools, and models to optimize performance and scalability. - Developing and implementing MLOps best practices for model lifecycle management and continuous improvement. - Designing and optimizing AI model inference and training pipelines on cloud or on-prem infrastructure. - Ensuring compliance with...

As a Senior Engineering Manager, Machine Learning at Adobe, your role involves leading a high-impact team dedicated to building and deploying brand-new ML solutions. You will guide the team through the full lifecycle of machine learning projects, collaborate with various teams to innovate custom products, and contribute to the ML strategy on the Genuine Engineering team. **Key Responsibilities:** - Lead, mentor, and grow a team of ML engineers to develop and deploy pioneering ML models. - Own the end-to-end execution of ML projects, from research and prototyping to production deployment. - Collaborate with product teams to identify AI/ML opportunities and define technical roadmaps. - Ensure ...

As a Senior Data Engineer at Trading Technologies, you will be responsible for developing scalable data pipelines and infrastructure, with a focus on data engineering technologies such as Snowflake, AWS, ETL processes, and tools. **Key Responsibilities:** - Data Pipeline Development: - Build, optimize, and maintain ETL/ELT pipelines to process large-scale data from various sources. - Implement data ingestion and transformation workflows using tools like Fivetran, Apache Airflow, and DBT. - Cloud Integration: - Utilize AWS services (S3, Glue, Athena, Lambda) for efficient data storage and processing. - Collaborate with DevOps to ensure cloud resources are optimized for performance and cost. -...

As a member of the Agoda team, you will play a crucial role in leading the design, development, and implementation of on-premises MLOps solutions supporting the delivery of machine learning models. Your responsibilities will include collaborating with data scientists and software engineers to build scalable data pipelines and model training systems. You will also be involved in developing monitoring and management tools to ensure the reliability and performance of our MLOps infrastructure. Additionally, you will work with stakeholders across the organization to understand their machine learning needs and develop solutions to meet those requirements. As a valuable member of the team, you will...

Job Application Link:https://app.fabrichq.ai/jobs/404e56df-c8af-4a06-ae8c-24fa4dfc456a Job Summary: The Senior AI Infrastructure Mgmt. Engineer will lead DevOps initiatives with expertise in Azure and AWS cloud platforms, focusing on AI/ML deployments. The role requires designing, implementing, and maintaining scalable cloud infrastructure while ensuring compliance with industry standards. The candidate will manage Linux systems, implement Infrastructure as Code, and optimize AI/ML infrastructure for performance and reliability. Key Responsibilities Possess in-depth knowledge of Linux operating systems, including CentOS, Ubuntu, and Red Hat Configure and optimize Linux-based servers for perf...

Job Application Link:https://app.fabrichq.ai/jobs/2038ab65-2dc1-4573-8305-17df6bce4202 Job Summary: Lead Engineer-AI/ML responsible for designing, developing, and deploying advanced AI models with a focus on generative AI, including transformer architectures. The role involves working with complex datasets, collaborating with cross-functional teams, and implementing AI models in production environments. The position requires expertise in machine learning, generative AI techniques, and MLOps practices. Key Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures Work with extensive and complex datasets, performing tasks...

Job Application Link:https://app.fabrichq.ai/jobs/16bac513-b51a-48e3-8291-7fa36c3c8bbd Job Summary: A senior engineering role focused on designing, developing, and deploying advanced AI models with emphasis on generative AI and transformer architectures. The position involves working with complex datasets, implementing and fine-tuning models in production environments, and collaborating with cross-functional teams to create AI solutions tailored to business needs. Key Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures and deep learning models Work with extensive and complex datasets, performing cleaning, preproce...

As a Lead AI Engineer, you will be responsible for spearheading the design, development, and deployment of cutting-edge AI solutions. Your role involves working closely with data scientists, ML engineers, product managers, and software developers to translate AI research and ideas into scalable production-ready systems. **Key Responsibilities:** - Architect and lead end-to-end development of AI/ML models and systems. - Collaborate with cross-functional teams to define AI product strategies and roadmaps. - Guide research and experimentation on advanced topics such as NLP, computer vision, LLMs, and generative AI. - Build scalable infrastructure for data ingestion, model training, evaluation, ...

As a DevOps Engineer at our company, your role will involve developing and supporting integrated automation solutions. You will be working in a team setting to create and maintain CI/CD pipelines, troubleshoot, enhance, and manage software delivery pipelines. Your responsibilities will also include managing our cloud infrastructure, creating tooling to streamline automation workflows, and building new workflows for next-generation solutions. Key Responsibilities: - Be the main point of contact for our team for Cloud and Infrastructure management - Develop, enhance, and manage deployment automation pipelines - Implement and manage DevOps best practices - Manage and configure cloud infrastruct...

As a Deep Learning Engineer, you will be responsible for the following: - Experience in Deep learning engineering, primarily focusing on MLOps. - Strong NLP/LLM experience, with the ability to process text using LLM. It is mandatory to have at least 6 months of experience in NLP. - Proficiency in Pyspark/Databricks & Python programming. - Building backend applications, including data processing, using Python and Deep learning frameworks. - Deployment of models and creation of APIS using technologies such as FAST API and FLASK API. - Knowledge and experience of working with GPUS is required. - Working knowledge of Vector databases like Milvus, azure cognitive search, quadrant, etc. Experience...